The next enterprise architecture asset: Ontologies for AI

### Executive Summary The text describes how ontologies and semantic models serve complementary roles in capturing data meaning and enabling consistent analytics and AI reasoning: ontologies define shared business meaning across data sources while semantic models define analytical structure for BI. It emphasizes that ontologies stabilize semantic models, reduce semantic sprawl, improve governance, and enable AI agents to reason correctly over data.